Documentation of the organization of the American Statistical Association’s 2018 Conference on Statistical Practice.
The objective for this theme is to help conference participants develop skills and perspectives that will improve their personal and professional effectiveness as statisticians and increase their organizational impact as managers, leaders, strategists, consultants or collaborators. Presentations will enable participants to return to their jobs with new ideas, techniques, and strategies for improving their ability to assume leadership roles, communicate effectively, forge productive professional relationships, and develop and advance their careers. Potential topics include the following:
The objective for this theme is to provide attendees with practical knowledge about modeling and analyzing data of various forms through the application of state-of-the-art statistical methods. Presentation methods should use illustrative data analysis examples reproducible across several statistical packages and may focus on a variety of data types from varied applied settings. Presentations will feature information relevant to a broad range of applied statisticians working in diverse settings. Potential topics include the following:
Big Data and Data Science are at the forefront of statistical practice and require a complex set of computing, statistical and communication skills. This conference theme aims to help practitioners working in these fields stay current with state-of-the-art methods for solving inference, prediction, decision making, classification, and pattern recognition problems from extremely large, unconventional, or complex data. Presentations pertaining to this theme will involve large data applications, overviews/surveys of methodological tools and algorithms for solving such applications and best practices for gathering, structuring, exploring, visualizing and analyzing large amounts of data. Potential topics include the following:
The objective for this theme is to help attendees integrate new or existing software, statistically oriented programming languages (R, SAS, etc.), or general programming languages (Python, Java, etc.) into their current processes. Presentations will focus on the practical application of such technology for the statistician or data analyst. Potential topics include the following:
The Conference on Statistical Practice Steering Committee (CSPSC) is responsible for the program and organization of the annual Conference on Statistical Practice (CSP). The purpose of the conference is to bring together statistical practitioners (including data analysts, researchers and scientists) who engage in the application of statistics to solve real-world problems to provide them opportunities to learn about the latest statistical methodologies and best practices in statistical design, analysis, programming and consulting, and aid them in improving their abilities in consulting with and helping customers and organizations. In conjunction with ASA staff, the CSPSC will make policy decisions for the conference, set and evaluate conference goals in accordance with needs of the target audiences, select sites and dates, recommend registration and other fees, pursue sponsorships, and actively promote the conference.
source: http://ww2.amstat.org/committees/commdetails.cfm?txtComm=CCNORG08
The CSPSC will consist of up to fifteen members. Six of these are appointed by the President-Elects. Each President-Elect will appoint/reappoint three of these six members for two year terms. One of these three appointments is a vice-chair, who serves a one year term and then becomes chair for one year. The CSPSC Chair, in consultation with the remaining committee members, has the authority to appoint additional members (up to the maximum of 15 members) for 1-2 year terms in order to provide the diversity of statistical practice needed to round out the planning of the conference.
## Warning: package 'leaflet' was built under R version 3.3.2MoonJung Cho (Chair of Steering Committee) - cho.moon@bls.gov
Isabella Ghement (Chair of Courses Subcom.) - ghement@yahoo.ca
Eric Stephens (Chair of Theme 1 CCCD Subcom.) - eric.stephens@lipscomb.edu
David Corliss (Chair of Theme 2 DMA Subcom.) - davidjcorliss@gmail.com
Colin McCulloch (Chair of Theme 3 BDDS Subcom.) - cmcculloch@google.com
Jean Adams (Chair of Theme 4 SPG Subcom., Vice Chair of Steering Committee) - jvadams@usgs.gov
Sylvia Dohrmann (Chair of Posters Subcom.) - dohrmas1@westat.com
John Castelloe - john.castelloe@sas.com
Jennifer Gauvin - jennifer.gauvin@novartis.com
Edward Jones - edward.jones@tamstatservices.com
Grace Hyun Kim - gracekim@mednet.ucla.edu
Kim Love-Myers - kim@krloveqcc.com
Laura Schweitzer - laura.schweitzer@pwc.com
Eric Vance - eric.vance@colorado.edu
Wenjin Wang - Wenjin.Wang@pfizer.com
Amanda Conageski (Meetings Planner) - amandac@amstat.org
Donna LaLonde (Director of Strategic Initiatives and Outreach) - donnal@amstat.org
The calendar below shows how the tasks and events in organizing CSP2018 fit together according to date and event category. Each task is shown as a gray line with colored circle at the end date. The color corresponds to the group responsible for each task.
The interactive table below shows the data behind the calendar above.
[Minutes by Jean]
Attendees: Jean Adams, John Castelloe, MoonJung Cho, David Corliss, Sylvia Dohrmann, Isabella Ghement, Donna LaLonde, Kim Love-Myers, Jim Rutherford, Eric Vance, Wenjin Wang
The CSP2017 abstract submission procedure will be very similar to the procedures of previous years. Please see the following for details: